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作 者:张翔 吴华[1] 陈游[1] 宋海方 周一鹏[1] ZHANG Xiang;WU Hua;CHEN You;SONG Haifang;ZHOU Yipeng(Aeronautics Engineering College,Air Force Engineering University,Xi'an 710038,China;Unit 92925,Changzhi 046011,Shanxi,China)
机构地区:[1]空军工程大学航空工程学院 [2]92925部队
出 处:《空军工程大学学报(自然科学版)》2018年第5期90-96,共7页Journal of Air Force Engineering University(Natural Science Edition)
基 金:航空科学基金(20152096019)
摘 要:以主动雷达弹对抗为背景,研究了单平台机载电子对抗资源的调度问题。为解决导弹导引头状态观测不确定性问题,引入部分可观测马尔科夫决策过程(POMDP)理论,分析了POMDP模型的要素,建立了针对主动雷达制导导弹的干扰资源优化POMDP模型,并利用最优策略可达空间的连续近似法(SARSOP)进行求解。将电子支援措施(ESM)的观测值输出与电子干扰措施(ECM)的优化策略相结合,提出了一种基于POMDP的电子对抗资源实时调度优化算法。仿真结果表明,该方法能够实现目标状态不确定情况下的干扰资源有效调度,相比现有的调度策略,可以使导引头更多维持在搜索状态,更少停留在稳定跟踪状态。Taking an active radar missile countermeasure as background, this paper studies the single-platform airborne electronic countermeasure (ECM) scheduling problem. In order to solve the uncertainty problem of missile seeker state observation, the partially observable Markov decision process (POMDP) theory is introduced. The elements of POMDP model are analyzed, an optimization model of ECM resources is established for the active radar homing missile, and the solution is solved by successive approximations of the reachable space under optimal policies (SARSOP). A new real-time scheduling optimization algorithm for ECM resources based on POMDP is presented, combined the output of electronic support measure (ESM) with the control strategy of ECM together. The simulation results indicate that the proposed algorithm can realize effective scheduling of ECM resources under the situation where the target state is uncertain compared with the existing approach, the radar missile will stay in seeoch state more and stable tracking state less.
关 键 词:主动雷达制导导弹 干扰资源优化 部分可观测马氏决策过程 最优策略可达空间的连续近似法
分 类 号:TN958.97[电子电信—信号与信息处理]
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